Another big goal was to automate as much as possible during the creation process. Only one step was made by hand.
You might want to know how Bertram was become so unusual colored. Then you should have a look at History.
There are great possibilities to support PartOfTheArt: Later on via participation ... But until the launch of the Project you can buy a NFT of Bertram via Opensea or Rarible. Bertrams own contract will also be available soon.
If you're interested in getting an own and unique Bertram you can get more information on the Customize page.
If you want me to create a customized Bertram for you, the values you can choose are:
* mandatory values
If you want to order one please use this mail body as a template and email us
Recent entries are appended at the top.
So read the whole story from bottom to top, please.
Feb-01-2022
Due to the decision of Opensea to limit collections to 50 items (they later reversed) I decided not to upload the whole collection only to opensea. Instead I want to distribute the collection on different market places.
So from now on you can also find Bertrams on Rarible.
Jan-01-2022
From now on, all Bertrams will be uploaded to the BertramDuckster Collection on opensea.io. One part every day until everyone is online.
The letter box is also given the foreground color. As a thin border.
The background varies depending on the size of the group. A "triple" image is given the standard gray by ImageMagick. The "double" images have a blue letter box and the "single" images have a yellow background for the language letter.
In order to be legible, the language letters are also given a shape behind them. A white one for "double" images and a black one for the others.
I liked the idea to use the average color of Bertram for further pic colors.
I tested in various versions.
The best way was to use the average color of the current Bertrams as word box or foreground color. The inverted color of this is the background color.
After his cartoonization process, Bertram was randomly colored with a filter. The colors are separated by its contrast of feathers.
During the cartoonize filter the amount of colors were reduced to eight for the best result.
I was looking for a way to get a large number of images. Permutation seemed like the perfect automated way to accomplish this goal.
But which words could be interesting?
When I first brainstormed that I had to find lots of different words to use just once, my mind was on animal names.
Bertrams shades of his feathers was too detailed. So I had to simplifies him. Therefore I choosed a cartoonize filter. In tests I executed them a various number of times until it looks like now.
Than I thought about how to make a asset of Bertram attractive for collectors. What should be different in each pic? Later on I decided to use these differences for the properties in the NFT. To use simple words in the bottom of the pics was one of the ideas which looks good. But without a word box it don't. Also Bertram has to be placed in the middle of the pic with much space around him. Another idea was to be able to offer different languages. That's why there is a box for letters in the upper right corner. These should symbolize the used language.
Many manually tests later I decided to cut Bertram out from his naturally background. This was the only manually executed part of the creation process. All other steps I produced via cli commands. Later on in the production process via loops.
But I wanted to create a larger collection. So I found Bertram in tons of pictures in my archive. Lessons learned from snailpunk was, that for a large collection it was impossible to create the pics by hand.
Later on, I searched for a good object which I can use for a NFT collection. My first try was snailpunk. A study of free filters in gimp. If you want to have a look, please take time to find the really good ones.
Bertram is a male Mallard. I met him a few years ago at the banks of the Saale in the midtown Jena in Germany. He has wanted me to feed him and quacked right beside me. I told him, that there is nothing of what I could feed him but he chattered on and came closer and closer. So I talked a bit with him and took a few great pics with my cam.